arXiv:2507.03050cs.CYcs.AI2025-07中稿 · ance for publicati…被引 3

英国探索平衡创新与安全的AI监管路径,推动全球协作。

From Turing to Tomorrow: The UK's Approach to AI Regulation

  • 以使用端监管为主,不直接干预技术开发,强调轻触式治理。
  • 2023年举办首届国际AI安全峰会,设立AI安全研究所监测风险。
  • 适合关注政策制定、技术伦理及民主社会如何管控AI的读者。

英国在人工智能监管上走出独特道路:比欧盟谨慎,但比美国更重视风险,已成为全球协调AI安全努力的领导者。自2012年起,伦敦深动(DeepMind)等公司的发展引发对灾难性风险的担忧,当时监管讨论聚焦于偏见与歧视。至2022年,政策转向“促创新”战略,政府要求现有监管机构采取轻触式管理,仅在使用环节监管AI,不直接规范技术或基础设施。2022年底ChatGPT问世后,这一策略被质疑不足。英国随即成立AI安全研究所,并于2023年主办首场国际AI安全峰会,但未像欧盟一样对前沿AI研发实施额外监管。2024年新政府上台后承诺填补此空白,但截至撰写时仍未行动。本文建议建立灵活的原则型监管机构,防范AI辅助生物设计带来的风险,并加强应对AI生成虚假信息的技术研究;同时呼吁更新版权、歧视和AI代理相关的法律框架,认为监管在劳动力市场重大变革中仍具有限而关键作用。若英国能正确制定监管,将展示民主社会如何驾驭AI红利并控制风险。

原文摘要 · Abstract (English)

The UK has pursued a distinctive path in AI regulation: less cautious than the EU but more willing to address risks than the US, and has emerged as a global leader in coordinating AI safety efforts. Impressive developments from companies like London-based DeepMind began to spark concerns in the UK about catastrophic risks from around 2012, although regulatory discussion at the time focussed on bias and discrimination. By 2022, these discussions had evolved into a "pro-innovation" strategy, in which the government directed existing regulators to take a light-touch approach, governing AI at point of use, but avoided regulating the technology or infrastructure directly. ChatGPT arrived in late 2022, galvanising concerns that this approach may be insufficient. The UK responded by establishing an AI Safety Institute to monitor risks and hosting the first international AI Safety Summit in 2023, but - unlike the EU - refrained from regulating frontier AI development in addition to its use. A new government was elected in 2024 which promised to address this gap, but at the time of writing is yet to do so. What should the UK do next? The government faces competing objectives: harnessing AI for economic growth and better public services while mitigating risk. In light of these, we propose establishing a flexible, principles-based regulator to oversee the most advanced AI development, defensive measures against risks from AI-enabled biological design tools, and argue that more technical work is needed to understand how to respond to AI-generated misinformation. We argue for updated legal frameworks on copyright, discrimination, and AI agents, and that regulators will have a limited but important role if AI substantially disrupts labour markets. If the UK gets AI regulation right, it could demonstrate how democratic societies can harness AI's benefits while managing its risks.

AI监管政策分析安全治理

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